Sr. Software Engineer

Illumina•San Diego, CA

19d•$129,400 - $194,000

About The Position

We are seeking a results-oriented Sr. Software Engineer in Test to contribute to SW Integration and Verification for Instrument SW products. In this role, you will own the automation & verification of small-to-medium software subsystems and contribute test and integration design proposals that feed product-level integration, helping deliver integrated and verified SW packages into our Next Generation Sequencing (NGS) products. You will help build efficient integration workflows and scalable automation frameworks, strengthen cross-functional collaboration, and support the practices that ensure high-quality SW systems and release-ready software delivery. The ideal candidate brings strong, hands-on expertise in integrating complex SW with HW systems, verification testing methodologies, modern automation frameworks, and CI/CD tooling, along with a genuine interest in mentoring peers and helping mature quality practices within the team.

Requirements

Proven expertise with testing frameworks such as MSTest, Mocha, Jest, Selenium, Cypress, or similar.
Experience with multiple programming languages/environments (e.g., C#/.NET, JavaScript, Python).
Experience developing automation tools and test infrastructure using Shell Scripting (Bash/Linux environments) is highly desirable.
Ability to work effectively across disciplines and establish relationships with internal customers, understanding their needs and expectations.
Demonstrated success collaborating in a fast-paced team environment and delivering high-quality software using established agile methodologies (such as Scrum, Kanban, etc.) against formal schedules.
Strong analytical and problem-solving skills, with the ability to make data-driven decisions.
Able to communicate project status, risk, and recommendations to multi-disciplinary teams, and to make presentations to Senior Management with oversight. Tailors communication style to the audience.
Problem-solving mindset with a data-driven approach.
Experience with tools such as JIRA, Confluence, GitHub, GitHub Actions, TeamCity, or their equivalents is required.
Experience with software quality patterns and practices (continuous integration, static analysis, unit testing, integration testing) is required.

Nice To Haves

Experience with AWS infrastructure is a plus.
Experience integrating software with complex hardware systems is a plus.
Knowledge of hardware/firmware development, medical software, healthcare regulations, cybersecurity best practices, and industry standards is desirable.
Experience with NGS and Bioinformatics is a plus.
Development experience with containers and container platforms (e.g., Docker, Kubernetes), and developing software solutions on Linux, is a plus.
Applied experience with AI tools such as Copilot or Claude is a plus.
Medical Device or regulated industry experience is a plus.

Responsibilities

Contribute to and help refine the software integration and verification strategy across a set of software components and subsystems, providing input to product-level integration approaches.
Create test and integration design proposals at the subsystem level. Evaluate system design in the context of the integration strategy, identify risks and improvement opportunities, and collaborate with Architects and other technical leaders on continuous improvement.
Develop automated test suits, test environments, and automation infrastructure, with guidance as needed on more complex or cross-subsystem work. Develop tools and services that support the integration and testing process. Investigate and diagnose issues.
Collaborate and communicate with multiple functions across the organization. Support integration planning with program leads, and identify and communicate integration risks within your area of responsibility and at critical interfaces to other teams.
Track development progress within your area of responsibility, escalate risks, and propose improvements to software integration and verification processes.
Mentor supporting engineers on technical skills in test automation and integration; collaborate with functional managers to share performance-related feedback where relevant.